Paper Title
IMAGE-BASED TECHNIQUES FOR RECONSTRUCT THREE-DIMENSIONAL SHAPES

Abstract
Three-dimensional (3D) rebuilding techniques have been utilized in various fields including surveying engineering and medical engineering, to generate point clouds, meshes, and geometric models of objects. To evaluate the data produced and the 3D digitization procedure, more methods involving empirical measurements and terrain 3D laser scanning were utilized. As long as, the technique of multi-image 3-D reconstruction yields more accurate results than 3D range scanning in terms of hardware requirements, knowledge start, and man hours. The main objective of this research is to assess each approach's surface deviation and distance measurements for accuracy, determine the method's practicality, assess the quality of the 3D model objectively, and provide objective indicators of the advantages and disadvantages of the 3D reconstruction approach based on images from more noteworthy studies. Furthermore, following the conclusion of the problem debate. As a result, this work advances understanding of 3D reconstruction in two ways: first, by methodically summarizing the current state of the art regarding the successes and difficulties encountered in using 3D reconstruction techniques in civil engineering; and second, by suggesting important avenues for future research in the field. Keywords - Multi-camera; 3D printing; Artificial Neural Networks, and photogrammetry.